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KMID : 1022420100020040137
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Phonetics and Speech Sciences
2010 Volume.2 No. 4 p.137 ~ p.143
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Optimization of State-Based Real-Time Speech Endpoint Detection Algorithm
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Kim Su-Hwan
Lee Young-Jae
Kim Young-Il
Jeong Sang-Bae
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Abstract
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In this paper, a speech endpoint detection algorithm is proposed. The proposed algorithm is a kind of state transition-based ones for speech detection. To reject short-duration acoustic pulses which can be considered noises, it utilizes duration information of all detected pulses. For the optimization of parameters related with pulse lengths and energy threshold to detect speech intervals, an exhaustive search scheme is adopted while speech recognition rates are used as its performance index. Experimental results show that the proposed algorithm outperforms the baseline state-based endpoint detection algorithm. At 5 ㏈ input SNR for the beamforming input, the word recognition accuracies of its outputs were 78.5% for human voice noises and 81.1% for music noises.
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KEYWORD
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endpoint detection, voice activity detection, speech recognition, speaker recognition
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FullTexts / Linksout information
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Listed journal information
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